| Challenge: | KonText is a corpus query interface built on top of core NoSketch Engine core libraries. |
| Approach: | KonText is built on top of core NoSketch Engine core libraries . it provides integration capabilities allowing connection of basic corpus search service with other languages . |
| Outcome: | The proposed interface is built on top of core libraries of the open-source corpus search engine NoSketch Engine (NoSkE) it overcomes some limitations and provides integration capabilities with other language resources. |
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To Boldly Query What No One Has Annotated Before? The Frontiers of Corpus Querying (2020.acl-main)
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| Challenge: | a systematic review of corpora and query tools focuses on the query side . annotated corporata are the backbone of many fields in linguistics . |
| Approach: | They propose a chronology of the major interplay between corpus progression and query tool evolution . they focus on the query side and hints at exciting directions for future development . |
| Outcome: | This paper provides a broad overview of the history of corpora and query tools . it focuses on the query side and hints at exciting directions for future development . |
Facilitating Corpus Usage: Making Icelandic Corpora More Accessible for Researchers and Language Users (2020.lrec-1)
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| Challenge: | Gigaword corpus is a large text corpus used in natural language processing . large corpora are needed to achieve better performance in the field of NLP . |
| Approach: | They propose a set of tools to facilitate the use of the Icelandic Gigaword Corpus . they provide n-grams based on the corpus, and a variety of pre-trained word embeddings models . |
| Outcome: | The proposed tools facilitate the use of the Icelandic Gigaword corpus in the field of Natural Language Processing and other fields. |
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox (2020.acl-demos)
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| Challenge: | OpusFilter is a toolbox for filtering parallel corpora using noisy training data. |
| Approach: | They propose a toolbox for filtering parallel corpora with heuristic filters, language identification libraries, character-based language models and word alignment tools. |
| Outcome: | The proposed tool outperforms a similar tool on a Finnish-English news translation task using noisy web crawls. |
Syntactic Search by Example (2020.acl-demos)
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| Challenge: | a new system allows a user to search a large linguistically annotated corpus using syntactic patterns over dependency graphs. |
| Approach: | They propose a query language that allows a user to search a large linguistically annotated corpus using syntactic patterns over dependency graphs. |
| Outcome: | The proposed system searches the English wikipedia and English pubmed abstracts at a rapid speed. |
A Lightweight Modeling Middleware for Corpus Processing (L18-1)
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| Challenge: | Present-day empirical research in computational or theoretical linguistics has richly annotated and diverse corpus resources. |
| Approach: | They propose a framework for modeling arbitrary multi-modal corpus resources in a unified form for processing tools. |
| Outcome: | The proposed framework allows researchers to explore and query more diverse corpus resources and artifacts through a single interactive interface. |
Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC (2024.lrec-main)
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| Challenge: | OntoLex is the dominant community standard for machine-readable lexical resources . it is currently extended with a designated module for Frequency, Attestations and Corpus-based Information . |
| Approach: | They propose a module for Frequency, Attestations and Corpus-based Information for OntoLex . the module enables RDF-based web services to exchange corpus queries dynamically . |
| Outcome: | The proposed module addresses the incorporation of corpus queries for linking dictionaries with corpus engines and enabling RDF-based web services to exchange corpus query data dynamically. |
BERT-QE: Contextualized Query Expansion for Document Re-ranking (2020.findings-emnlp)
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| Challenge: | Existing methods to expand query use pseudo relevance feedback (PRF) but they are under-equipped to evaluate the relevance of information pieces used for expansion. |
| Approach: | They propose a query expansion model that leverages the BERT model to select relevant document chunks for expansion. |
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NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System (L18-1)
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| Challenge: | NL2Bash is a new semantic parsing problem for mapping English sentences to Bash commands. |
| Approach: | They propose a dataset of English commands and expert-written Bash commands to map English sentences to Bash. |
| Outcome: | The proposed methods are significantly larger (from two to ten times) than most existing benchmarks. |
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources (2023.emnlp-main)
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| Challenge: | Existing research on the Somali language information retrieval relies on query translation . lack of digital resources is key obstacle to advancing language technologies . |
| Approach: | They develop an annotated corpus for Somali information retrieval using query expansion technique. |
| Outcome: | The proposed corpus comprises 2335 documents collected from well-known online sites . it can be used for text classification-related tasks and question-answering research purposes. |
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)
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| Challenge: | Until recently, language descriptions were available in paper form only, with indexes as the only search aid. |
| Approach: | They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful. |
| Outcome: | The proposed corpus is searchable through a couple of well-established corpus infrastructures. |