Entity linking can disambiguate mentions of an entity in text. However, there are many different aspects of an entity that could be discussed but are not differentiable by entity links, for example, the entity "oyster'' in the context of "food'' or "...

Document embeddings and similarity measures underpin content-based recommender systems, whereby a document is commonly represented as a single generic embedding. However, similarity computed on single vector representations provides only one perspective ...

Political communication in social media has gained increasing importance in the last years. In this study, we analyze the political parties’ communication on Twitter and understand the sentiment of their communication. First by identifying their ...

Recommender systems assist legal professionals in finding relevant literature for supporting their case. Despite its importance for the profession, legal applications do not reflect the latest advances in recommender systems and representation learning ...

This article studies cross-lingual text similarity using neural machine translation models. A straightforward approach based on machine translation is to use translated text so as to make the problem monolingual. Another possible approach is to use ...

For CS50 at Harvard, we have developed a suite of free, open-source tools to help students with writing, testing, and submitting programming assignments and to help teachers grade those assignments and check them for similarities. help50 parses often-...

The primary goal of this paper is to explore how Natural Language Processing techniques (NLP) can assist in reviewing, understanding, and drawing conclusions from text datasets. We explore NLP techniques for the analysis and the extraction of useful ...

Many digital libraries recommend literature to their users considering the similarity between a query document and their repository. However, they often fail to distinguish what is the relationship that makes two documents alike. In this paper, we model ...

With the advancement of the Web and large number of legal documents being made available digitally, legal practitioners are now facing new challenges. It is now intractable for them to manually find relevant information (prior cases, related statutes, ...

Currently, the semantic analysis is used by different fields, such as information retrieval, the biomedical domain, and natural language processing. The primary focus of this research work is on using semantic methods, the cosine similarity algorithm, and ...

We tackle the complex problem of determining entailment relationships between case law documents, one of the tasks in the Competition on Legal Information Extraction and Entailment (COLIEE). With input of an entailed fragment from a case coupled with a ...

Over the past few years, the amount of research papers published has dramatically increased. Consequently, researchers spend a lot of time reviewing relevant literature in order to better understand their domain of interest and keep up with new ...

In several document matching applications like comparing across judgments, patent claims or movie plots, conventional bag-of-words models are insufficient. Bag of words are useful for computing lexical similarity; while in this case, there is a need to ...

We present the Word importance-based similarity of documents metric (WISDM), a fast and scalable novel method for document similarity/distance computation for analysis of scientific documents. It is based on recent advancements in the area of word ...

Software information sites such as Stack Overflow, Super User, and Ask Ubuntu allow users to post software-related questions, answer the questions asked by other users, and add tags to their questions. Tagging is a popular system across web communities ...

Accurate methods are required for plagiarism detection from documents. Generally, plagiarism detection is implemented on the basis of similarity between documents. This paper evaluates the validity of using distributed representation of words for ...

With the extensive growth of the Web, multiple Web archiving initiatives have been started to archive different aspects of the Web. Services such as Archive-It exist to allow institutions to develop, curate, and preserve collections of Web resources. ...

Algorithms to topically cluster and classify texts rely on information about their semantic distances and similarities. Standard methods based on the bag-of-words model to determine this information return only rough estimations regarding the ...

SQL injection attack has been a major security threat to web applications for over a decade. Now a days, attackers use automated tools to discover vulnerable websites from search engines and launch attacks on multiple websites simultaneously. Being ...

Similarity measures have been used widely in information retrieval research. Most research has been done on query-document or document-document similarity without much attention to the user's perception of similarity in the context of the information ...