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task ID: evidenceretrieval

Related Papers

STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence Retrieval

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present a new challenging news dataset that targets both stance detection (SD) and fine-grained evidence retrieval (ER). With its 3,291 expert-annotated articles, the dataset constitutes a high-quality benchmark for …...

32117

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

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractEvidence retrieval is a critical stage of question answering (QA), necessary not only to improve performance, but also to explain the decisions of the QA method. We introduce a simple, …...

37611

Fool Me Twice: Entailment from Wikipedia Gamification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe release FoolMeTwice (FM2 for short), a large dataset of challenging entailment pairs collected through a fun multi-player game. Gamification encourages adversarial examples, drastically lowering the number of examples that …...

21841

A STEP towards Interpretable Multi-Hop Reasoning:Bridge Phrase Identification and Query Expansion

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe propose an unsupervised method for the identification of bridge phrases in multi-hop question answering (QA). Our method constructs a graph of noun phrases from the question and the available …...

14928

DialFact: A Benchmark for Fact-Checking in Dialogue

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractFact-checking is an essential tool to mitigate the spread of misinformation and disinformation. We introduce the task of fact-checking in dialogue, which is a relatively unexplored area. We construct DialFact, …...

39115

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractWe present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinformation related to the COVID-19 pandemic. …...

21347

Bf3R at SemEval-2023 Task 7: a text similarity model for textual entailment and evidence retrieval in clinical trials and animal studies

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractWe describe our participation on the Multi-evidence Natural Language Inference for Clinical Trial Data (NLI4CT) of SemEval’23. The organizers provided a collection of clinical trials as training data and a …...

24951

DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractDocument-level relation extraction (DocRE) is the task of identifying all relations between each entity pair in a document. Evidence, defined as sentences containing clues for the relationship between an entity …...

42943

Exploring Unsupervised Semantic Similarity Methods for Claim Verification in Health Care News Articles

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn the 21st century, the proliferation of fake information has emerged as a significant threat to society. Particularly, healthcare medical reporters face challenges when verifying claims related to treatment effects, …...

20068

I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial Data

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn this paper, we describe our system for SemEval-2023 Task 7: Multi-evidence Natural Language Inference for Clinical Trial Data. Given a CTR premise, and a statement, this task involves 2 …...

24745

Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractWith the increasing number of clinical trial reports generated every day, it is becoming hard to keep up with novel discoveries that inform evidence-based healthcare recommendations. To help automate this …...

24713

Stanford MLab at SemEval 2023 Task 7: Neural Methods for Clinical Trial Report NLI

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractWe present a system for natural language inference in breast cancer clinical trial reports, as framed by SemEval 2023 Task 7: Multi-evidence Natural Language Inference for Clinical Trial Data. In …...

24733