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2020 – today
- 2024
[c180]Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan:
Attribute First, then Generate: Locally-attributable Grounded Text Generation. ACL (1) 2024: 3309-3344- [c179]Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. ACL (Findings) 2024: 6527-6548 - [c178]Paul Roit, Aviv Slobodkin, Eran Hirsch, Arie Cattan, Ayal Klein, Valentina Pyatkin, Ido Dagan:
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries. ACL (1) 2024: 16394-16409 - [c177]Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Ido Dagan:
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model. EMNLP (Findings) 2024: 301-320 - [c176]Lotem Golany, Filippo Galgani, Maya Mamo, Nimrod Parasol, Omer Vandsburger, Nadav Bar, Ido Dagan:
Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts. EMNLP (Findings) 2024: 1908-1925 - [c175]Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty:
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP. EMNLP 2024: 16576-16586 - [c174]Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan:
Multi-Review Fusion-in-Context. NAACL-HLT (Findings) 2024: 3003-3021 - [i83]Aviv Slobodkin, Ori Shapira, Ran Levy, Ido Dagan:
Multi-Review Fusion-in-Context. CoRR abs/2403.15351 (2024) - [i82]Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan:
Attribute First, then Generate: Locally-attributable Grounded Text Generation. CoRR abs/2403.17104 (2024) - [i81]Lotem Golany, Filippo Galgani, Maya Mamo, Nimrod Parasol, Omer Vandsburger, Nadav Bar, Ido Dagan:
Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts. CoRR abs/2405.01121 (2024) - [i80]Chen Huang, Yang Deng
, Wenqiang Lei, Jiancheng Lv, Ido Dagan:
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model. CoRR abs/2405.12081 (2024) - [i79]Valentina Pyatkin, Bonnie Webber, Ido Dagan, Reut Tsarfaty:
Superlatives in Context: Explicit and Implicit Domain Restrictions for Superlative Frames. CoRR abs/2405.20967 (2024) - [i78]Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. CoRR abs/2406.00842 (2024) - [i77]Omri Berkovitch, Sapir Caduri, Noam Kahlon, Anatoly Efros, Avi Caciularu, Ido Dagan:
Identifying User Goals from UI Trajectories. CoRR abs/2406.14314 (2024) - [i76]Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty:
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP. CoRR abs/2407.00402 (2024) - [i75]Paul Roit, Aviv Slobodkin, Eran Hirsch, Arie Cattan, Ayal Klein, Valentina Pyatkin, Ido Dagan:
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries. CoRR abs/2408.04246 (2024) - [i74]Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan:
Localizing Factual Inconsistencies in Attributable Text Generation. CoRR abs/2410.07473 (2024) - 2023
- [j33]Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, Reut Tsarfaty, Ido Dagan, Vera Demberg:
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design. Trans. Assoc. Comput. Linguistics 11: 1014-1032 (2023) - [c173]Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan:
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. ACL (1) 2023: 1970-1989 - [c172]Eran Hirsch, Valentina Pyatkin, Ruben Wolhandler, Avi Caciularu, Asi Shefer, Ido Dagan:
Revisiting Sentence Union Generation as a Testbed for Text Consolidation. ACL (Findings) 2023: 7038-7058 - [c171]Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan:
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. EMNLP (Demos) 2023: 403-412 - [c170]Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan:
SummHelper: Collaborative Human-Computer Summarization. EMNLP (Demos) 2023: 554-565 - [c169]Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat:
Optimizing Retrieval-augmented Reader Models via Token Elimination. EMNLP 2023: 1506-1524 - [c168]Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan:
OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization. EMNLP 2023: 1967-1991 - [c167]Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, Shauli Ravfogel:
The Curious Case of Hallucinatory (Un)answerability: Finding Truths in the Hidden States of Over-Confident Large Language Models. EMNLP 2023: 3607-3625 - [c166]Aviv Slobodkin, Avi Caciularu, Eran Hirsch, Ido Dagan:
Don't Add, don't Miss: Effective Content Preserving Generation from Pre-Selected Text Spans. EMNLP (Findings) 2023: 12784-12800 - [c165]Ori Ernst, Ori Shapira, Ido Dagan, Ran Levy:
Re-Examining Summarization Evaluation across Multiple Quality Criteria. EMNLP (Findings) 2023: 13829-13838 - [i73]Valentina Pyatkin, Frances Yung, Merel C. J. Scholman, Reut Tsarfaty, Ido Dagan, Vera Demberg:
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design. CoRR abs/2304.00815 (2023) - [i72]Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan:
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. CoRR abs/2305.15387 (2023) - [i71]Eran Hirsch, Valentina Pyatkin, Ruben Wolhandler, Avi Caciularu, Asi Shefer, Ido Dagan:
Revisiting Sentence Union Generation as a Testbed for Text Consolidation. CoRR abs/2305.15605 (2023) - [i70]Aviv Slobodkin, Niv Nachum, Shmuel Amar, Ori Shapira, Ido Dagan:
SummHelper: Collaborative Human-Computer Summarization. CoRR abs/2308.08363 (2023) - [i69]Aviv Slobodkin, Avi Caciularu, Eran Hirsch, Ido Dagan:
Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans. CoRR abs/2310.09017 (2023) - [i68]Aviv Slobodkin, Omer Goldman, Avi Caciularu, Ido Dagan, Shauli Ravfogel:
The Curious Case of Hallucinatory Unanswerablity: Finding Truths in the Hidden States of Over-Confident Large Language Models. CoRR abs/2310.11877 (2023) - [i67]Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, Moshe Wasserblat:
Optimizing Retrieval-augmented Reader Models via Token Elimination. CoRR abs/2310.13682 (2023) - [i66]Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan:
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. CoRR abs/2311.11301 (2023) - [i65]Shmuel Amar, Liat Schiff, Ori Ernst, Asi Shefer, Ori Shapira, Ido Dagan:
OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization. CoRR abs/2312.04440 (2023) - 2022
- [j32]Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou:
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43(1): 59-68 (2022) - [c164]Alon Eirew, Avi Caciularu, Ido Dagan:
Cross-document Event Coreference Search: Task, Dataset and Modeling. EMNLP 2022: 900-913 - [c163]Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan:
Controlled Text Reduction. EMNLP 2022: 5699-5715 - [c162]Ruben Wolhandler, Arie Cattan, Ori Ernst, Ido Dagan:
How "Multi" is Multi-Document Summarization? EMNLP 2022: 5761-5769 - [c161]Ayal Klein, Eran Hirsch, Ron Eliav, Valentina Pyatkin, Avi Caciularu, Ido Dagan:
QASem Parsing: Text-to-text Modeling of QA-based Semantics. EMNLP 2022: 7742-7756 - [c160]Merel C. J. Scholman, Valentina Pyatkin, Frances Yung, Ido Dagan, Reut Tsarfaty, Vera Demberg:
Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training. LREC 2022: 2148-2156 - [c159]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
Proposition-Level Clustering for Multi-Document Summarization. NAACL-HLT 2022: 1765-1779 - [c158]Daniela Brook Weiss, Paul Roit, Ori Ernst, Ido Dagan:
Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations. NAACL-HLT 2022: 1854-1860 - [c157]Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer:
Interactive Query-Assisted Summarization via Deep Reinforcement Learning. NAACL-HLT 2022: 2551-2568 - [c156]Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Long Context Question Answering via Supervised Contrastive Learning. NAACL-HLT 2022: 2872-2879 - [c155]Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan:
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction. WASSA@ACL 2022: 104-112 - [i64]Ayal Klein, Eran Hirsch, Ron Eliav, Valentina Pyatkin, Avi Caciularu, Ido Dagan:
QASem Parsing: Text-to-text Modeling of QA-based Semantics. CoRR abs/2205.11413 (2022) - [i63]Alon Eirew, Avi Caciularu, Ido Dagan:
Cross-document Event Coreference Search: Task, Dataset and Modeling. CoRR abs/2210.12654 (2022) - [i62]Ruben Wolhandler, Arie Cattan, Ori Ernst, Ido Dagan:
How "Multi" is Multi-Document Summarization? CoRR abs/2210.12688 (2022) - [i61]Aviv Slobodkin, Paul Roit, Eran Hirsch, Ori Ernst, Ido Dagan:
Controlled Text Reduction. CoRR abs/2210.13449 (2022) - 2021
- [j31]Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan:
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. Trans. Assoc. Comput. Linguistics 9: 691-706 (2021) - [c154]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Cross-document Coreference Resolution over Predicted Mentions. ACL/IJCNLP (Findings) 2021: 5100-5107 - [c153]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. AKBC 2021 - [c152]Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. CoNLL 2021: 310-322 - [c151]James Ravenscroft, Amanda Clare, Arie Cattan, Ido Dagan, Maria Liakata:
CD\^2CR: Co-reference resolution across documents and domains. EACL 2021: 270-280 - [c150]Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan:
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. EMNLP (Demos) 2021: 283-297 - [c149]Valentina Pyatkin, Paul Roit, Julian Michael, Yoav Goldberg, Reut Tsarfaty, Ido Dagan:
Asking It All: Generating Contextualized Questions for any Semantic Role. EMNLP (1) 2021: 1429-1441 - [c148]Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan:
CDLM: Cross-Document Language Modeling. EMNLP (Findings) 2021: 2648-2662 - [c147]Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan:
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions. EMNLP (1) 2021: 9879-9894 - [c146]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Extending Multi-Document Summarization Evaluation to the Interactive Setting. NAACL-HLT 2021: 657-677 - [c145]Alon Eirew, Arie Cattan, Ido Dagan:
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia. NAACL-HLT 2021: 2498-2510 - [c144]Ohad Rozen, Shmuel Amar, Vered Shwartz, Ido Dagan:
Teach the Rules, Provide the Facts: Targeted Relational-knowledge Enhancement for Textual Inference. *SEM 2021: 89-98 - [c143]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Realistic Evaluation Principles for Cross-document Coreference Resolution. *SEM 2021: 143-151 - [c142]Avi Caciularu, Ido Dagan, Jacob Goldberger:
Denoising Word Embeddings by Averaging in a Shared Space. *SEM 2021: 294-301 - [i60]Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan:
Cross-Document Language Modeling. CoRR abs/2101.00406 (2021) - [i59]James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, Maria Liakata:
CD2CR: Co-reference Resolution Across Documents and Domains. CoRR abs/2101.12637 (2021) - [i58]Alon Eirew, Arie Cattan, Ido Dagan:
WEC: Deriving a Large-scale Cross-document Event Coreference dataset from Wikipedia. CoRR abs/2104.05022 (2021) - [i57]Ofer Sabo, Yanai Elazar, Yoav Goldberg, Ido Dagan:
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes. CoRR abs/2104.08481 (2021) - [i56]Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope:
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR abs/2104.08809 (2021) - [i55]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Cross-document Coreference Resolution over Predicted Mentions. CoRR abs/2106.01210 (2021) - [i54]Avi Caciularu, Ido Dagan, Jacob Goldberger:
Denoising Word Embeddings by Averaging in a Shared Space. CoRR abs/2106.02954 (2021) - [i53]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Realistic Evaluation Principles for Cross-document Coreference Resolution. CoRR abs/2106.04192 (2021) - [i52]Valentina Pyatkin, Paul Roit, Julian Michael, Reut Tsarfaty, Yoav Goldberg, Ido Dagan:
Asking It All: Generating Contextualized Questions for any Semantic Role. CoRR abs/2109.04832 (2021) - [i51]Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan:
iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. CoRR abs/2109.11621 (2021) - [i50]Daniela Brook Weiss, Paul Roit, Ayal Klein, Ori Ernst, Ido Dagan:
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions. CoRR abs/2109.12655 (2021) - [i49]Ori Shapira, Ramakanth Pasunuru, Ido Dagan, Yael Amsterdamer:
Multi-Document Keyphrase Extraction: A Literature Review and the First Dataset. CoRR abs/2110.01073 (2021) - [i48]Daniela Brook Weiss, Paul Roit, Ori Ernst, Ido Dagan:
Extending Multi-Text Sentence Fusion Resources via Pyramid Annotations. CoRR abs/2110.04517 (2021) - [i47]Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan:
A Proposition-Level Clustering Approach for Multi-Document Summarization. CoRR abs/2112.08770 (2021) - [i46]Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan:
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering. CoRR abs/2112.08777 (2021) - 2020
- [c141]Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer, Ido Dagan:
Controlled Crowdsourcing for High-Quality QA-SRL Annotation. ACL 2020: 7008-7013 - [c140]Ayal Klein, Jonathan Mamou, Valentina Pyatkin, Daniela Stepanov, Hangfeng He, Dan Roth, Luke Zettlemoyer, Ido Dagan:
QANom: Question-Answer driven SRL for Nominalizations. COLING 2020: 3069-3083 - [c139]Michael Bugert, Nils Reimers, Shany Barhom, Ido Dagan, Iryna Gurevych:
Breaking the Subtopic Barrier in Cross-Document Event Coreference Resolution. Text2Story@ECIR 2020: 23-29 - [c138]Aaron Bornstein, Arie Cattan, Ido Dagan:
CoRefi: A Crowd Sourcing Suite for Coreference Annotation. EMNLP (Demos) 2020: 205-215 - [c137]Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, Ido Dagan:
QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines. EMNLP (1) 2020: 2804-2819 - [c136]Oren Barkan, Avi Caciularu, Ido Dagan:
Within-Between Lexical Relation Classification. EMNLP (1) 2020: 3521-3527 - [c135]Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan:
Paraphrasing vs Coreferring: Two Sides of the Same Coin. EMNLP (Findings) 2020: 4897-4907 - [i45]Yehudit Meged, Avi Caciularu, Vered Shwartz, Ido Dagan:
Paraphrasing vs Coreferring: Two Sides of the Same Coin. CoRR abs/2004.14979 (2020) - [i44]Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan:
SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. CoRR abs/2009.00590 (2020) - [i43]Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Evaluating Interactive Summarization: an Expansion-Based Framework. CoRR abs/2009.08380 (2020) - [i42]Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan:
Streamlining Cross-Document Coreference Resolution: Evaluation and Modeling. CoRR abs/2009.11032 (2020) - [i41]Aaron Bornstein, Arie Cattan, Ido Dagan:
CoRefi: A Crowd Sourcing Suite for Coreference Annotation. CoRR abs/2010.02588 (2020) - [i40]Valentina Pyatkin, Ayal Klein, Reut Tsarfaty, Ido Dagan:
QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines. CoRR abs/2010.02815 (2020)
2010 – 2019
- 2019
- [j30]Chaya Liebeskind, Ido Dagan, Jonathan Schler:
An Algorithmic Scheme for Statistical Thesaurus Construction in a Morphologically Rich Language. Appl. Artif. Intell. 33(6): 483-496 (2019) - [j29]Vered Shwartz, Ido Dagan:
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. Trans. Assoc. Comput. Linguistics 7: 403-419 (2019) - [c134]Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych:
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. ACL (1) 2019: 2214-2220 - [c133]Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan:
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. ACL (1) 2019: 4179-4189 - [c132]Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoNLL 2019: 196-205 - [c131]Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. EMNLP/IJCNLP (3) 2019: 1-6 - [c130]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. EMNLP/IJCNLP (1) 2019: 3108-3118 - [c129]Yevgeniy Puzikov, Claire Gardent, Ido Dagan, Iryna Gurevych:
Revisiting the Binary Linearization Technique for Surface Realization. INLG 2019: 268-278 - [c128]Amit Moryossef, Yoav Goldberg, Ido Dagan:
Improving Quality and Efficiency in Plan-based Neural Data-to-text Generation. INLG 2019: 377-382 - [c127]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. NAACL-HLT (1) 2019: 682-687 - [c126]Amit Moryossef, Yoav Goldberg, Ido Dagan:
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation. NAACL-HLT (1) 2019: 2267-2277 - [i39]Vered Shwartz, Ido Dagan:
Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition. CoRR abs/1902.10618 (2019) - [i38]Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan:
Multi-Context Term Embeddings: the Use Case of Corpus-based Term Set Expansion. CoRR abs/1904.02496 (2019) - [i37]Amit Moryossef, Yoav Goldberg, Ido Dagan:
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation. CoRR abs/1904.03396 (2019) - [i36]Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan:
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. CoRR abs/1904.05929 (2019) - [i35]Shany Barhom, Vered Shwartz, Alon Eirew, Michael Bugert, Nils Reimers, Ido Dagan:
Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution. CoRR abs/1906.01753 (2019) - [i34]Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych:
Better Rewards Yield Better Summaries: Learning to Summarise Without References. CoRR abs/1909.01214 (2019) - [i33]Oren Pereg, Daniel Korat, Moshe Wasserblat, Jonathan Mamou, Ido Dagan:
ABSApp: A Portable Weakly-Supervised Aspect-Based Sentiment Extraction System. CoRR abs/1909.05608 (2019) - [i32]Amit Moryossef, Ido Dagan, Yoav Goldberg:
Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation. CoRR abs/1909.09986 (2019) - [i31]Ohad Rozen, Vered Shwartz, Roee Aharoni, Ido Dagan:
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets. CoRR abs/1910.09302 (2019) - [i30]Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky,