1 code implementation • NAACL 2022 • Krishna Sanagavarapu, Jathin Singaraju, Anusha Kakileti, Anirudh Kaza, Aaron Mathews, Helen Li, Nathan Brito, Eduardo Blanco
More importantly, our results demonstrate that existing corpora with synthetic indirect answers to yes-no questions are not beneficial when working with real conversations.
1 code implementation • COLING 2022 • Zhaomin Xiao, Eduardo Blanco
In particular, we investigate the role of text and images to solve this challenging problem.
no code implementations • EMNLP 2020 • Md Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, Tiffany Kao, Elizabeth Wei, Eduardo Blanco
Negation is underrepresented in existing natural language inference benchmarks.
no code implementations • 27 Jan 2025 • Xiaoying Song, Sharon Lisseth Perez, Xinchen Yu, Eduardo Blanco, Lingzi Hong
Hate speech (HS) erodes the inclusiveness of online users and propagates negativity and division.
1 code implementation • 14 Oct 2024 • Xiaoying Song, Sujana Mamidisetty, Eduardo Blanco, Lingzi Hong
Further, we reveal differences in linguistic characteristics, politeness, and specificity.
no code implementations • 21 Aug 2024 • Shahriar Golchin, Mihai Surdeanu, Steven Bethard, Eduardo Blanco, Ellen Riloff
In-context learning (ICL) has proven to be an effective strategy for improving the performance of large language models (LLMs) with no additional training.
no code implementations • 3 Jul 2024 • Md Nayem Uddin, Amir Saeidi, Divij Handa, Agastya Seth, Tran Cao Son, Eduardo Blanco, Steven R. Corman, Chitta Baral
This paper introduces UnSeenTimeQA, a novel data contamination-free time-sensitive question-answering (TSQA) benchmark.
1 code implementation • 24 Jun 2024 • Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, ZiHao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
This study focuses on the topic of LLMs assist NLP Researchers, particularly examining the effectiveness of LLM in assisting paper (meta-)reviewing and its recognizability.
no code implementations • 11 Jun 2024 • MohammadHossein Rezaei, Eduardo Blanco
Negation is a common linguistic phenomenon.
Natural Language Inference
Natural Language Understanding
+2
1 code implementation • 25 Apr 2024 • Zijie Wang, Farzana Rashid, Eduardo Blanco
People often answer yes-no questions without explicitly saying yes, no, or similar polar keywords.
1 code implementation • 25 Apr 2024 • Md Nayem Uddin, Enfa Rose George, Eduardo Blanco, Steven Corman
Transformer-based questions are generated using large language models trained to formulate questions based on a passage and the expected answer.
no code implementations • 7 Apr 2024 • Md Nayem Uddin, Enfa Rose George, Eduardo Blanco, Steven Corman
This paper presents multiple question generation strategies for document-level event argument extraction.
no code implementations • 25 Mar 2024 • Lingzi Hong, Pengcheng Luo, Eduardo Blanco, Xiaoying Song
Our analyses, however, show that there are differences in the quality and style depending on the model.
no code implementations • 17 Mar 2024 • Javad Rafiei Asl, Prajwal Panzade, Eduardo Blanco, Daniel Takabi, Zhipeng Cai
In this paper, we introduce RobustSentEmbed, a self-supervised sentence embedding framework designed to improve both generalization and robustness in diverse text representation tasks and against a diverse set of adversarial attacks.
no code implementations • 8 Dec 2023 • Xinchen Yu, Eduardo Blanco, Lingzi Hong
A linguistic analysis uncovers the differences in the language of replies that elicit follow-up conversations with high and low incivility.
1 code implementation • 24 Oct 2023 • Shivam Mathur, Keun Hee Park, Dhivya Chinnappa, Saketh Kotamraju, Eduardo Blanco
Interpreting answers to yes-no questions in social media is difficult.
1 code implementation • 20 Oct 2023 • Zijie Wang, Md Mosharaf Hossain, Shivam Mathur, Terry Cruz Melo, Kadir Bulut Ozler, Keun Hee Park, Jacob Quintero, MohammadHossein Rezaei, Shreya Nupur Shakya, Md Nayem Uddin, Eduardo Blanco
Experimental results demonstrate that monolingual fine-tuning is beneficial if training data can be obtained via distant supervision for the language of interest (5 languages).
1 code implementation • 11 Jul 2023 • Sushma Anand Akoju, Robert Vacareanu, Haris Riaz, Eduardo Blanco, Mihai Surdeanu
To this end, we modify the original texts using a set of phrases - modifiers that correspond to universal quantifiers, existential quantifiers, negation, and other concept modifiers in Natural Logic (NL) (MacCartney, 2009).
1 code implementation • 26 Oct 2022 • Md Mosharaf Hossain, Eduardo Blanco
Inspired by the fact that understanding a negated statement often requires humans to infer affirmative interpretations, in this paper we show that doing so benefits models for three natural language understanding tasks.
Natural Language Inference
Natural Language Understanding
+2
1 code implementation • NAACL 2022 • Xinchen Yu, Eduardo Blanco, Lingzi Hong
Hate speech is plaguing the cyberspace along with user-generated content.
1 code implementation • Findings (NAACL) 2022 • Md Mosharaf Hossain, Luke Holman, Anusha Kakileti, Tiffany Iris Kao, Nathan Raul Brito, Aaron Abraham Mathews, Eduardo Blanco
We first cast the problem of revealing affirmative interpretations from negations as a natural language inference (NLI) classification task.
1 code implementation • ACL 2022 • Md Mosharaf Hossain, Dhivya Chinnappa, Eduardo Blanco
This paper analyzes negation in eight popular corpora spanning six natural language understanding tasks.
1 code implementation • Findings (EMNLP) 2021 • Saketh Kotamraju, Eduardo Blanco
Our experiments show that the majority and weighted vote baselines are competitive, and that the written justifications are beneficial to call a question throughout its life except in the last quarter.
no code implementations • COLING 2020 • Jordan Sanders, Meghana Gudala, Kathleen Hamilton, Nishtha Prasad, Jordan Stovall, Eduardo Blanco, Jane E Hamilton, Kirk Roberts
Patient adherence is a critical factor in health outcomes.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Farzana Rashid, Tommaso Fornaciari, Dirk Hovy, Eduardo Blanco, Fernando Vega-Redondo
When interacting with each other, we motivate, advise, inform, show love or power towards our peers.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Srikala Murugan, Dhivya Chinnappa, Eduardo Blanco
This paper targets the task of determining event outcomes in social media.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Md Mosharaf Hossain, Antonios Anastasopoulos, Eduardo Blanco, Alexis Palmer
As machine translation (MT) systems progress at a rapid pace, questions of their adequacy linger.
1 code implementation • 31 Jul 2020 • Paul Tarau, Eduardo Blanco
Working on the Prolog facts and their inferred consequences, the dialog engine specializes the text graph with respect to a query and reveals interactively the document's most relevant content elements.
no code implementations • ACL 2020 • Md Mosharaf Hossain, Kathleen Hamilton, Alexis Palmer, Eduardo Blanco
The focus of a negation is the set of tokens intended to be negated, and a key component for revealing affirmative alternatives to negated utterances.
no code implementations • ACL 2020 • Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco
This paper introduces two tasks: determining (a) the duration of possession relations and (b) co-possessions, i. e., whether multiple possessors possess a possessee at the same time.
no code implementations • LREC 2020 • Salud Mar{\'\i}a Jim{\'e}nez-Zafra, Roser Morante, Eduardo Blanco, Mar{\'\i}a Teresa Mart{\'\i}n Valdivia, L. Alfonso Ure{\~n}a- L{\'o}pez
In this work we address the processing of negation in Spanish.
no code implementations • LREC 2020 • Dhivya Chinnappa, Alexis Palmer, Eduardo Blanco
Specifically, to complete the full TOP task for a given article, a system must do the following: a) identify possessors; b) anchor possessors to times/events; c) identify temporal relations between each temporal anchor and the possession relation it corresponds to; d) assign certainty scores to each possessor and each temporal relation; and e) assemble individual possession events into a global possession timeline.
no code implementations • IJCNLP 2019 • Dhivya Chinnappa, Srikala Murugan, Eduardo Blanco
This paper describes a new dataset and experiments to determine whether authors of tweets possess the objects they tweet about.
1 code implementation • 20 Sep 2019 • Paul Tarau, Eduardo Blanco
We build a bridge between neural network-based machine learning and graph-based natural language processing and introduce a unified approach to keyphrase, summary and relation extraction by aggregating dependency graphs from links provided by a deep-learning based dependency parser.
no code implementations • SEMEVAL 2019 • Zahra Sarabi, Erin Killian, Eduardo Blanco, Alexis Palmer
Negation often conveys implicit positive meaning.
no code implementations • NAACL 2019 • Abhishek Singh, Eduardo Blanco, Wei Jin
Tweets are short messages that often include specialized language such as hashtags and emojis.
no code implementations • EMNLP 2018 • Dhivya Chinnappa, Eduardo Blanco
This paper presents a corpus and experimental results to extract possession relations over time.
no code implementations • EMNLP 2018 • Farzana Rashid, Eduardo Blanco
This paper presents a set of dimensions to characterize the association between two people.
no code implementations • NAACL 2018 • Dhivya Chinnappa, Eduardo Blanco
This paper presents a corpus and experiments to mine possession relations from text.
no code implementations • NAACL 2018 • Alakan Vempala, a, Eduardo Blanco, Alexis Palmer
This paper presents models to predict event durations.
no code implementations • EMNLP 2017 • Farzana Rashid, Eduardo Blanco
This paper presents a corpus and experiments to determine dimensions of interpersonal relationships.
no code implementations • ACL 2017 • Krishna Chaitanya Sanagavarapu, Alakan Vempala, a, Eduardo Blanco
This paper describes an approach to determine whether people participate in the events they tweet about.
no code implementations • EACL 2017 • Zahra Sarabi, Eduardo Blanco
This paper presents a framework to understand negation in positive terms.
no code implementations • LREC 2016 • Alakan Vempala, a, Eduardo Blanco
First, we manipulate semantic roles to automatically generate potential additional spatial knowledge.
no code implementations • LREC 2012 • Dan Moldovan, Eduardo Blanco
Polaris is a supervised semantic parser that given text extracts semantic relations.