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Query expansion is the reformulation of a user query by adding semantically related information, and is an essential component of monolingual and cross-lingual information retrieval used to ensure that relevant documents are not missed.…

Information Retrieval · Computer Science 2025-11-25 Olivia Macmillan-Scott , Roksana Goworek , Eda B. Özyiğit

Query auto-completion is a search engine feature whereby the system suggests completed queries as the user types. Recently, the use of a recurrent neural network language model was suggested as a method of generating query completions. We…

Computation and Language · Computer Science 2018-04-26 Aaron Jaech , Mari Ostendorf

Query auto completion (QAC) systems are a standard part of search engines in industry, helping users formulate their query. Such systems update their suggestions after the user types each character, predicting the user's intent using…

Computation and Language · Computer Science 2018-05-10 Nicolas Fiorini , Zhiyong Lu

Language model users often issue queries that lack specification, where the context under which a query was issued -- such as the user's identity, the query's intent, and the criteria for a response to be useful -- is not explicit. For…

Computation and Language · Computer Science 2025-05-27 Chaitanya Malaviya , Joseph Chee Chang , Dan Roth , Mohit Iyyer , Mark Yatskar , Kyle Lo

Spelling irregularities, known now as spelling mistakes, have been found for several centuries. As humans, we are able to understand most of the misspelled words based on their location in the sentence, perceived pronunciation, and context.…

Computation and Language · Computer Science 2021-01-12 Yifei Hu , Xiaonan Jing , Youlim Ko , Julia Taylor Rayz

Developers often refactor source code to improve its quality during software development. A challenge in refactoring is to determine if it can be applied or not. To help with this decision-making process, we aim to search for past…

Software Engineering · Computer Science 2023-10-04 Motoki Abe , Shinpei Hayashi

Tens of thousands of engineers use Sourcegraph day-to-day to search for code and rely on it to make progress on software development tasks. We face a key challenge in designing a query language that accommodates the needs of a broad…

Software Engineering · Computer Science 2022-12-08 Rijnard van Tonder

When users initiate search sessions, their queries are often unclear or might lack of context; this resulting in inefficient document ranking. Multiple approaches have been proposed by the Information Retrieval community to add context and…

Information Retrieval · Computer Science 2022-06-01 Pierre Erbacher , Ludovic Denoyer , Laure Soulier

Query reformulation is a key mechanism to alleviate the linguistic chasm of query in ad-hoc retrieval. Among various solutions, query reduction effectively removes extraneous terms and specifies concise user intent from long queries.…

Information Retrieval · Computer Science 2023-05-23 Hye-young Kim , Minjin Choi , Sunkyung Lee , Eunseong Choi , Young-In Song , Jongwuk Lee

In this work we present a systematic empirical study focused on the suitability of the state-of-the-art multilingual encoders for cross-lingual document and sentence retrieval tasks across a number of diverse language pairs. We first treat…

Computation and Language · Computer Science 2021-12-22 Robert Litschko , Ivan Vulić , Simone Paolo Ponzetto , Goran Glavaš

This paper presents a spell checker and correction tool specifically designed for Wolof, an under-represented spoken language in Africa. The proposed spell checker leverages a combination of a trie data structure, dynamic programming, and…

Computation and Language · Computer Science 2023-05-23 Thierno Ibrahima Cissé , Fatiha Sadat

This study examines textual, user-written search queries within the context of sound search engines, encompassing various applications such as foley, sound effects, and general audio retrieval. Current research inadequately addresses…

Computation and Language · Computer Science 2024-10-14 Benno Weck , Frederic Font

Natural Language Search (NLS) extends the capabilities of search engines that perform keyword search allowing users to issue queries in a more "natural" language. The engine tries to understand the meaning of the queries and to map the…

We deal with the scenario of conversational search, where user queries are under-specified or ambiguous. This calls for a mixed-initiative setup. User-asks (queries) and system-answers, as well as system-asks (clarification questions) and…

Computation and Language · Computer Science 2022-05-24 Yosi Mass , Doron Cohen , Asaf Yehudai , David Konopnicki

Automated fact-checking has drawn considerable attention over the past few decades due to the increase in the diffusion of misinformation on online platforms. This is often carried out as a sequence of tasks comprising (i) the detection of…

Computation and Language · Computer Science 2024-03-27 Rrubaa Panchendrarajan , Arkaitz Zubiaga

Chinese Spelling Check (CSC) refers to the detection and correction of spelling errors in Chinese texts. In practical application scenarios, it is important to make CSC models have the ability to correct errors across different domains. In…

Computation and Language · Computer Science 2023-08-31 Siqi Song , Qi Lv , Lei Geng , Ziqiang Cao , Guohong Fu

The search of information in large text repositories has been plagued by the so-called document-query vocabulary gap, i.e. the semantic discordance between the contents in the stored document entities on the one hand and the human query on…

Information Retrieval · Computer Science 2020-04-22 Bhawani Selvaretnam , Mohammed Belkhatir

The rapid growth of web has resulted in vast volume of information. Information availability at a rapid speed to the user is vital. English language (or any for that matter) has lot of ambiguity in the usage of words. So there is no…

Information Retrieval · Computer Science 2011-08-30 Jeevan H E , Prashanth P P , Punith Kumar S N , Vinay Hegde

The viability of an Augmentative and Alternative Communication device often depends on its ability to adapt to an individual user's unique abilities. Though human input can be noisy, there is often structure to our errors. For example,…

Human-Computer Interaction · Computer Science 2019-10-04 Matt Higger , Fernando Quivira , Deniz Erdogmus

While keyword query empowers ordinary users to search vast amount of data, the ambiguity of keyword query makes it difficult to effectively answer keyword queries, especially for short and vague keyword queries. To address this challenging…

Databases · Computer Science 2013-01-14 Jianxin Li , Chengfei Liu , Liang Yao , Jeffrey Xu Yu