19 Result(s)
within
Jian-Yun Nie
Computer Science
Data Mining and Knowledge Discovery
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Chapter and Conference Paper
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
Conversational search is a difficult task as it aims at retrieving documents based not only on the current user query but also on the full conversation history. Most of the previous methods have focused on a m...
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Article
ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation
Human–computer conversation is an active research topic in natural language processing. One of the representative methods to build conversation systems uses the sequence-to-sequence (Seq2seq) model through neu...
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Chapter and Conference Paper
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
Much progress has been made recently on text classification with methods based on neural networks. In particular, models using attention mechanism such as BERT have shown to have the capability of capturing th...
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Chapter and Conference Paper
Neural Response Generation with Relevant Emotions for Short Text Conversation
Human conversations are often embedded with emotions. To simulate human conversations, the response generated by a chatbot not only has to be topically relevant to the post, but should also carry an appropriat...
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Chapter and Conference Paper
Hierarchical Attention Network for Context-Aware Query Suggestion
Query suggestion helps search users to efficiently express their information needs and has attracted many studies. Among the different kinds of factors that help improve query suggestion performance, user beha...
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Article
Constructing click models for search users
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Article
Enhancing click models with mouse movement information
User interactions in Web search, in particular, clicks, provide valuable hints on document relevance; but the signals are very noisy. In order to better understand user click behaviors and to infer the implied...
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Chapter and Conference Paper
CLEF 2017 Microblog Cultural Contextualization Lab Overview
MC2 CLEF 2017 lab deals with how cultural context of a microblog affects its social impact at large. This involves microblog search, classification, filtering, language recognition, localization, entity extrac...
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Article
Enhancing web search with queries of equivalent intents
Users often issue all kinds of queries to look for the same target due to the intrinsic ambiguity and flexibility of natural languages. Some previous work clusters queries based on co-clicks; however, the inte...
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Article
Open AccessUniClip: Leveraging Web Search for Universal Clip** of Articles on Mobile
In this paper we address the difficulty of clip** articles from mobile apps. We propose a service called UniClip that allows a user to save the full content of an article by snap** a screenshot part of it....
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Chapter and Conference Paper
Constraining Word Embeddings by Prior Knowledge – Application to Medical Information Retrieval
Word embedding has been used in many NLP tasks and showed some capability to capture semantic features. It has also been used in several recent studies in IR. However, word embeddings trained in unsupervised ...
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Chapter and Conference Paper
Towards Query Level Resource Weighting for Diversified Query Expansion
Diversifying query expansion that leverages multiple resources has demonstrated promising results in the task of search result diversification (SRD) on several benchmark datasets. In existing studies, however,...
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Article
Latent word context model for information retrieval
The application of word sense disambiguation (WSD) techniques to information retrieval (IR) has yet to provide convincing retrieval results. Major obstacles to effective WSD in IR include coverage and granular...
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Chapter and Conference Paper
Integrating Multiple Resources for Diversified Query Expansion
Diversified query expansion aims to cover different possible intents of a short and ambiguous query. Most standard approaches use a single source of information, e.g., the initial retrieval list or some extern...
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Chapter and Conference Paper
Using a Medical Thesaurus to Predict Query Difficulty
Estimating query performance is the task of predicting the quality of results returned by a search engine in response to a query. In this paper, we focus on pre-retrieval prediction methods for the medical dom...
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Chapter
Translingual Mining from Text Data
Like full-text translation, cross-language information retrieval (CLIR) is a task that requires some form of knowledge transfer across languages. Although robust translation resources are critical for construc...
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Chapter and Conference Paper
Position-Aligned Translation Model for Citation Recommendation
The goal of a citation recommendation system is to suggest some references for a snippet in an article or a book, and this is very useful for both authors and the readers. The citation recommendation problem c...
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Chapter and Conference Paper
Improving Medical Information Retrieval with PICO Element Detection
Without a well formulated and structured question, it can be very difficult and time consuming for physicians to identify appropriate resources and search for the best available evidence for medical treatment ...
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Chapter and Conference Paper
Time-Sensitive Language Modelling for Online Term Recurrence Prediction
We address the problem of online term recurrence prediction: for a stream of terms, at each time point predict what term is going to recur next in the stream given the term occurrence history so far. It has ma...
