{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,5]],"date-time":"2025-07-05T13:02:24Z","timestamp":1751720544013},"reference-count":0,"publisher":"EasyChair","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Legal professionals worldwide are currently trying to get up-to-pace with the explosive growth in legal document availability through digital means. This drives a need for high efficiency Legal Information Retrieval (IR) and Question Answering (QA) methods. The IR task in particular has a set of unique challenges that invite the use of semantic motivated NLP techniques. In this work, a two-stage method for Legal Information Retrieval is proposed, combining lexical statistics and distributional sentence representations in the context of Competition on Legal Information Extraction\/Entailment (COLIEE). The combination is done with the use of disambiguation rules, applied over the rankings obtained through n-gram statistics. After the ranking is done, its results are evaluated for ambiguity, and disambiguation is done if a result is decided to be unreliable for a given query. Competition and experimental results indicate small gains in overall retrieval performance using the proposed approach. Additionally, an analysis of error and improvement cases is presented for a better understanding of the contributions.<\/jats:p>","DOI":"10.29007\/2xzw","type":"proceedings-article","created":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T18:05:58Z","timestamp":1516730758000},"page":"43-28","source":"Crossref","is-referenced-by-count":1,"title":["Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities"],"prefix":"10.29007","volume":"47","author":[{"given":"Danilo","family":"S. Carvalho","sequence":"first","affiliation":[]},{"given":"Vu","family":"Tran","sequence":"additional","affiliation":[]},{"given":"Khanh Van","family":"Tran","sequence":"additional","affiliation":[]},{"given":"Nguyen","family":"Le Minh","sequence":"additional","affiliation":[]}],"member":"11545","event":{"name":"COLIEE 2017. 4th Competition on Legal Information Extraction and Entailment"},"container-title":["EPiC Series in Computing"],"original-title":[],"deposited":{"date-parts":[[2018,1,23]],"date-time":"2018-01-23T18:05:59Z","timestamp":1516730759000},"score":1,"resource":{"primary":{"URL":"https:\/\/easychair.org\/publications\/paper\/7Pv"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.29007\/2xzw","relation":{},"ISSN":["2398-7340"],"issn-type":[{"type":"print","value":"2398-7340"}],"subject":[]}}