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09/15/2023
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
Using large language models (LMs) for query or document expansion can im...
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07/15/2023
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
Bias evaluation benchmarks and dataset and model documentation have emer...
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05/24/2023
A Controllable QA-based Framework for Decontextualization
Many real-world applications require surfacing extracted snippets to use...
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04/24/2023
Overview of the TREC 2022 NeuCLIR Track
This is the first year of the TREC Neural CLIR (NeuCLIR) track, which ai...
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03/29/2023
Queer In AI: A Case Study in Community-Led Participatory AI
We present Queer in AI as a case study for community-led participatory d...
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02/22/2023
One-Shot Labeling for Automatic Relevance Estimation
Dealing with unjudged documents ("holes") in relevance assessments is a ...
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01/24/2023
The Semantic Scholar Open Data Platform
The volume of scientific output is creating an urgent need for automated...
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12/20/2022
Exploring the Challenges of Open Domain Multi-Document Summarization
Multi-document summarization (MDS) has traditionally been studied assumi...
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10/23/2022
Knowledge Transfer from Answer Ranking to Answer Generation
Recent studies show that Question Answering (QA) based on Answer Sentenc...
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07/11/2022
Embedding Recycling for Language Models
Training and inference with large neural models is expensive. However, f...
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05/20/2022
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection
An important task for designing QA systems is answer sentence selection ...
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05/02/2022
Paragraph-based Transformer Pre-training for Multi-Sentence Inference
Inference tasks such as answer sentence selection (AS2) or fact verifica...
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01/15/2022
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
Large transformer models can highly improve Answer Sentence Selection (A...
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10/14/2021
Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering
Open-Retrieval Generative Question Answering (GenQA) is proven to delive...
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01/28/2021
Modeling Context in Answer Sentence Selection Systems on a Latency Budget
Answer Sentence Selection (AS2) is an efficient approach for the design ...
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05/05/2020
The Cascade Transformer: an Application for Efficient Answer Sentence Selection
Large transformer-based language models have been shown to be very effec...
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01/30/2020
Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing
Virtual assistants such as Amazon Alexa, Apple Siri, and Google Assistan...
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01/11/2020
Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses
In a modern spoken language understanding (SLU) system, the natural lang...
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12/30/2019
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning
While billions of non-English speaking users rely on search engines ever...
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11/21/2018
Overcoming low-utility facets for complex answer retrieval
Many questions cannot be answered simply; their answers must include num...
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06/20/2018
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
Self-reported diagnosis statements have been widely employed in studying...
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06/13/2018
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Mental health is a significant and growing public health concern. As lan...
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05/02/2018
Characterizing Question Facets for Complex Answer Retrieval
Complex answer retrieval (CAR) is the process of retrieving answers to q...
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04/19/2018
Helping or Hurting? Predicting Changes in Users' Risk of Self-Harm Through Online Community Interactions
In recent years, online communities have formed around suicide and self-...
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04/15/2018
