Many approaches to personalization involve learning short-term and long-term user models. The user models provide context for queries and other interactions with the information system. In this paper, we discuss how language models can be used to represent context and support context-based techniques such as relevance feedback and query disambiguation.

Pseudo Relevance Feedback (PRF) is known to improve the effectiveness of bag-of-words retrievers. At same time, deep language models have been shown outperform traditional rerankers. However, it unclear how integrate PRF directly with emergent models. This article addresses this gap by investigating methods for integrating signals rerankers and dense retrievers based on We consider text-based, ...

Traditionally the use of pseudo relevance feedback (PRF) techniques for query expansion has been demonstrated very effective. Particularly the use of Relevance Models (RM) in the context of the Language Modelling framework has been established as a high-performance approach to beat. In this paper we present an alternative estimation for the RM promoting terms that being present in the relevance...

Automated language identification of written text is a wellestablished research domain that has received considerable attention in the past. By now, efficient and effective algorithms based on character n-grams are in use, mainly with identification based on Markov models or on character n-gram profiles. In this paper we investigate the limitations of these approaches when applied to real-world...

Second language (L2) communication strategies (CSs) have traditionally been dealt with through either interactional or psychological perspectives. However, this paper is a critical attempt to question the status of the particular kinds of psycholinguistic and interactional approaches that currently dominate the field of second language acquisition (SLA). In this way, it expands the significance...

We argue that Cognitive Science can profit from the study of language evolution. Research in language evolution is concerned with the question of how complex linguistic structures can emerge from the interactions between many communicating individuals. As such it complements psycholinguistics which investigates the processes involved in individual adult language processing, and child language d...

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