Search Results for author: Anthony Colas

Found 11 papers, 6 papers with code

M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval

no code implementations21 Mar 2024 Yang Bai, Anthony Colas, Christan Grant, Daisy Zhe Wang

In recent research, contrastive learning has proven to be a highly effective method for representation learning and is widely used for dense retrieval.

Contrastive Learning Fact Verification +4

Knowledge-grounded Natural Language Recommendation Explanation

no code implementations30 Aug 2023 Anthony Colas, Jun Araki, Zhengyu Zhou, Bingqing Wang, Zhe Feng

Explanations accompanied by a recommendation can assist users in understanding the decision made by recommendation systems, which in turn increases a user's confidence and trust in the system.

Collaborative Filtering Explainable Recommendation +1

Can Knowledge Graphs Simplify Text?

1 code implementation14 Aug 2023 Anthony Colas, Haodi Ma, Xuanli He, Yang Bai, Daisy Zhe Wang

Knowledge Graph (KG)-to-Text Generation has seen recent improvements in generating fluent and informative sentences which describe a given KG.

Descriptive KG-to-Text Generation +3

Simple Rule Injection for ComplEx Embeddings

no code implementations7 Aug 2023 Haodi Ma, Anthony Colas, Yuejie Wang, Ali Sadeghian, Daisy Zhe Wang

Recent works in neural knowledge graph inference attempt to combine logic rules with knowledge graph embeddings to benefit from prior knowledge.

Knowledge Graph Completion Knowledge Graph Embeddings

MythQA: Query-Based Large-Scale Check-Worthy Claim Detection through Multi-Answer Open-Domain Question Answering

1 code implementation21 Jul 2023 Yang Bai, Anthony Colas, Daisy Zhe Wang

The idea behind this is that contradictory claims are a strong indicator of misinformation that merits scrutiny by the appropriate authorities.

Fact Checking Misinformation +1

DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries

1 code implementation LREC 2022 Jayetri Bardhan, Anthony Colas, Kirk Roberts, Daisy Zhe Wang

Our goal is to provide a benchmark dataset for multi-modal QA systems, and to open up new avenues of research in improving question answering over EHR structured data by using context from unstructured clinical data.

Question Answering Text-To-SQL

GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation

1 code implementation COLING 2022 Anthony Colas, Mehrdad Alvandipour, Daisy Zhe Wang

Recent improvements in KG-to-text generation are due to additional auxiliary pre-training tasks designed to give the fine-tune task a boost in performance.

Graph Attention KG-to-Text Generation +2

EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation

1 code implementation30 Oct 2021 Anthony Colas, Ali Sadeghian, Yue Wang, Daisy Zhe Wang

We also evaluate two types of baseline on EventNarrative: a graph-to-text specific model and two state-of-the-art language models, which previous work has shown to be adaptable to the knowledge graph-to-text domain.

KG-to-Text Generation Knowledge Graphs +2

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