Mihai Surdeanu

research

∙ 08/16/2023

Time Travel in LLMs: Tracing Data Contamination in Large Language Models

Data contamination, i.e., the presence of test data from downstream task...

0 Shahriar Golchin, et al. ∙

research

∙ 07/14/2023

Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords

We propose a novel task-agnostic in-domain pre-training method that sits...

0 Shahriar Golchin, et al. ∙

research

∙ 07/11/2023

Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference

We introduce a synthetic dataset called Sentences Involving Complex Comp...

0 Sushma Anand Akoju, et al. ∙

research

∙ 07/06/2023

It is not Sexually Suggestive, It is Educative. Separating Sex Education from Suggestive Content on TikTok Videos

We introduce SexTok, a multi-modal dataset composed of TikTok videos lab...

0 Enfa George, et al. ∙

research

∙ 04/28/2023

Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning

Languages models have been successfully applied to a variety of reasonin...

0 Zhengzhong Liang, et al. ∙

research

∙ 10/30/2022

Validity Assessment of Legal Will Statements as Natural Language Inference

This work introduces a natural language inference (NLI) dataset that foc...

0 Alice Saebom Kwak, et al. ∙

research

∙ 10/26/2022

BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples

Natural language inference (NLI) is critical for complex decision-making...

0 Mohaddeseh Bastan, et al. ∙

research

∙ 08/25/2022

A Compact Pretraining Approach for Neural Language Models

Domain adaptation for large neural language models (NLMs) is coupled wit...

11 Shahriar Golchin, et al. ∙

research

∙ 05/30/2022

Learning Open Domain Multi-hop Search Using Reinforcement Learning

We propose a method to teach an automated agent to learn how to search f...

0 Enrique Noriega-Atala, et al. ∙

research

∙ 05/10/2022

SuMe: A Dataset Towards Summarizing Biomedical Mechanisms

Can language models read biomedical texts and explain the biomedical mec...

0 Mohaddeseh Bastan, et al. ∙

research

∙ 05/07/2022

Better Retrieval May Not Lead to Better Question Answering

Considerable progress has been made recently in open-domain question ans...

0 Zhengzhong Liang, et al. ∙

research

∙ 04/25/2022

It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers

We propose an explainable approach for relation extraction that mitigate...

0 Zheng Tang, et al. ∙

research

∙ 01/16/2022

From Examples to Rules: Neural Guided Rule Synthesis for Information Extraction

While deep learning approaches to information extraction have had many s...

0 Robert Vacareanu, et al. ∙

research

∙ 01/15/2022

Automatic Correction of Syntactic Dependency Annotation Differences

Annotation inconsistencies between data sets can cause problems for low-...

0 Andrew Zupon, et al. ∙

research

∙ 01/10/2022

Informal Persian Universal Dependency Treebank

This paper presents the phonological, morphological, and syntactic disti...

0 Roya Kabiri, et al. ∙

research

∙ 12/17/2021

Neural Architectures for Biological Inter-Sentence Relation Extraction

We introduce a family of deep-learning architectures for inter-sentence ...

0 Enrique Noriega-Atala, et al. ∙

research

∙ 09/10/2021

How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks

The general goal of text simplification (TS) is to reduce text complexit...

0 Hoang Van, et al. ∙

research

∙ 06/08/2021

Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading

We propose a simple and effective strategy for data augmentation for low...

0 Hoang Van, et al. ∙

research

∙ 10/15/2020

The Language of Food during the Pandemic: Hints about the Dietary Effects of Covid-19

We study the language of food on Twitter during the pandemic lockdown in...

0 Hoang Van, et al. ∙

research

∙ 09/22/2020

Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering

Evidence retrieval is a key component of explainable question answering ...

0 Zhengzhong Liang, et al. ∙

research

∙ 05/04/2020

Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering

Evidence retrieval is a critical stage of question answering (QA), neces...

0 Vikas Yadav, et al. ∙

research

∙ 11/17/2019

Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering

We propose an unsupervised strategy for the selection of justification s...

0 Vikas Yadav, et al. ∙

research

∙ 09/21/2019

On the Importance of Delexicalization for Fact Verification

In this work we aim to understand and estimate the importance that a neu...

0 Sandeep Suntwal, et al. ∙

research

∙ 07/05/2018

Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering

While increasingly complex approaches to question answering (QA) have be...

0 Vikas Yadav, et al. ∙

research

∙ 05/29/2018

Lightly-supervised Representation Learning with Global Interpretability

We propose a lightly-supervised approach for information extraction, in ...

0 Marco A. Valenzuela-Escarcega, et al. ∙

research

∙ 11/01/2017

Text Annotation Graphs: Annotating Complex Natural Language Phenomena

This paper introduces a new web-based software tool for annotating text,...

0 Angus G. Forbes, et al. ∙

research

∙ 09/01/2017

Learning what to read: Focused machine reading

Recent efforts in bioinformatics have achieved tremendous progress in th...

0 Enrique Noriega-Atala, et al. ∙

research

∙ 06/30/2016

SnapToGrid: From Statistical to Interpretable Models for Biomedical Information Extraction

We propose an approach for biomedical information extraction that marrie...

0 Marco A. Valenzuela-Escarcega, et al. ∙

research

∙ 06/26/2016

This before That: Causal Precedence in the Biomedical Domain

Causal precedence between biochemical interactions is crucial in the bio...

0 Gus Hahn-Powell, et al. ∙

research

∙ 03/11/2016

Towards using social media to identify individuals at risk for preventable chronic illness

We describe a strategy for the acquisition of training data necessary to...

0 Dane Bell, et al. ∙

research

∙ 03/11/2016

Sieve-based Coreference Resolution in the Biomedical Domain

We describe challenges and advantages unique to coreference resolution i...

0 Dane Bell, et al. ∙

research

∙ 09/24/2015

Description of the Odin Event Extraction Framework and Rule Language

This document describes the Odin framework, which is a domain-independen...

0 Marco A. Valenzuela-Escarcega, et al. ∙

Mihai Surdeanu

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