Experimental IR Meets Multilinguality, Multimodality, and Interaction
9th International Conference of the CLEF Association, CLEF 2018, Avignon, France, September 10-14, 2018, Proceedings
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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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Chapter and Conference Paper
Content Selection Network for Document-Grounded Retrieval-Based Chatbots
Grounding human-machine conversation in a document is an effective way to improve the performance of retrieval-based chatbots. However, only a part of the document content may be relevant to help select the ap...
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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
Cross-Level Matching Model for Information Retrieval
Recently, many neural retrieval models have been proposed and shown competitive results. In particular, interaction-based models have shown superior performance to traditional models in a number of studies. Ho...
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Chapter and Conference Paper
Knowledge Enhanced Opinion Generation from an Attitude
Mining opinion is essential for consistency and persona of a chatbot. However, mining existing opinions suffers from data sparsity. Toward a given entity, we cannot always find a proper sentence that expresses...
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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
Future Directions of Query Understanding
Query understanding bridges the gap and establishes a communication channel between the searcher and the search engine. An important challenge in question understanding is the enhancement of user interaction w...
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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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Book and Conference Proceedings
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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
Is Concept Map** Useful for Biomedical Information Retrieval?
Concepts have been extensively used in biomedical information retrieval (BIR); but the experimental results have often showed limited or no improvement compared to a traditional bag-of-words method. In this pa...
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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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Book and Conference Proceedings
Natural Language Processing and Chinese Computing
Third CCF Conference, NLPCC 2014, Shenzhen, China, December 5-9, 2014. Proceedings
