Ad-Hoc Information Retrieval

28 papers with code • 1 benchmarks • 2 datasets

Ad-hoc information retrieval refers to the task of returning information resources related to a user query formulated in natural language.

Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks

maastrichtlawtech/gdsr 30 Jan 2023

Statutory article retrieval (SAR), the task of retrieving statute law articles relevant to a legal question, is a promising application of legal text processing.

16
30 Jan 2023

Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval

jingtaozhan/disentangled-retriever 11 Aug 2022

By making the REM and DAMs disentangled, DDR enables a flexible training paradigm in which REM is trained with supervision once and DAMs are trained with unsupervised data.

56
11 Aug 2022

Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense Retrieval

thakur-nandan/income 23 May 2022

In our work, we evaluate LTH and vector compression techniques for improving the downstream zero-shot retrieval accuracy of the TAS-B dense retriever while maintaining efficiency at inference.

22
23 May 2022

Event-Driven Query Expansion

guyrosin/event_driven_qe 22 Dec 2020

A significant number of event-related queries are issued in Web search.

6
22 Dec 2020

Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News

nguyenvo09/EMNLP2020 EMNLP 2020

The search can directly warn fake news posters and online users (e. g. the posters' followers) about misinformation, discourage them from spreading fake news, and scale up verified content on social media.

72
07 Oct 2020

PARADE: Passage Representation Aggregation for Document Reranking

canjiali/PARADE 20 Aug 2020

In this work, we explore strategies for aggregating relevance signals from a document's passages into a final ranking score.

96
20 Aug 2020

Document Ranking with a Pretrained Sequence-to-Sequence Model

castorini/pygaggle Findings of the Association for Computational Linguistics 2020

We investigate this observation further by varying target words to probe the model's use of latent knowledge.

316
14 Mar 2020

Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning

Georgetown-IR-Lab/multilingual-neural-ir 30 Dec 2019

While billions of non-English speaking users rely on search engines every day, the problem of ad-hoc information retrieval is rarely studied for non-English languages.

3
30 Dec 2019

WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset

getalp/wikIR LREC 2020

Since most standard ad-hoc information retrieval datasets publicly available for academic research (e. g. Robust04, ClueWeb09) have at most 250 annotated queries, the recent deep learning models for information retrieval perform poorly on these datasets.

44
04 Dec 2019

A Self-Attentive model for Knowledge Tracing

theophilee/learner-performance-prediction 16 Jul 2019

Knowledge tracing is the task of modeling each student's mastery of knowledge concepts (KCs) as (s)he engages with a sequence of learning activities.

40
16 Jul 2019