Mean Average Precision

The paper presents the Position Specific Posterior Lattice, a novel representation of automatic speech recognition lattices that naturally lends itself to efficient in- dexing of position information and subse- quent …...

We explore the problem of retrieving semi-structured documents from a real- world collection using a structured query. We formally develop Structured Rele- vance Models (SRM), a retrieval model that is …...

. Named entity translation plays an important role in many applications, such as information retrieval and machine translation. In this paper, we focus on translating person names, the most common …...

The distance or similarity metric plays an important role in many natural language processing (NLP) tasks. Previous stud- ies have demonstrated the effectiveness of a number of metrics such as …...

Combining information extraction sys- tems yields significantly higher quality re- sources than each system in isolation. In this paper, we generalize such a mixing of sources and features in a …...

AbstractNatural language processing technology has developed remarkably, but it is still difficult for computers to understand contextual meanings as humans do. The purpose of our work has been to construct …...

AbstractThis paper deals with the main problems that arise in the query translation process in dictionary-based Cross-lingual Information Retrieval (CLIR): translation selection, presence of Out-Of-Vocabulary (OOV) terms and translation of …...

In this paper we present methods for automat- ically acquiring training examples for the task of entity extraction. Experimental evidence show that: (1) our methods compete with a current heavily …...

. Numerous studies have analyzed the influences of word segmentation (WS) performance on information retrieval (IR) for Mandarin Chinese and have demonstrated a non-monotonic relationship between WS accuracy and IR …...

A rumor is commonly defined as a state- ment whose true value is unverifiable. Ru- mors may spread misinformation (false infor- mation) or disinformation (deliberately false information) on a network …...

Cross-language information retrieval today is dominated by techniques that rely principally on context-independent token-to-token mappings despite the fact that state-of-the-art statistical machine translation systems now have far richer translation models …...

The improvements to ad-hoc IR sys- tems over the last decades have been re- cently criticized as illusionary and based on incorrect baseline comparisons. In this paper several improvements to …...

We explore some of the practicalities of using random walk inference meth- ods, such as the Path Ranking Algorithm (PRA), for the task of knowledge base completion. We show that …...

Community Question Answering (CAQ) sys- tems play an important role in people's lives due to the huge knowledge accumulated in them. In order to take full advantage of the huge …...

Methods based on representation learning cur- rently hold the state-of-the-art in many natural language processing and knowledge base in- ference tasks. Yet, a major challenge is how to efficiently incorporate …...

AbstractIn this paper we present a rule-based method for multi-word term extraction that relies on extensive lexical resources in the form of electronic dictionaries and finite-state transducers for modelling various …...

This paper describes the SemEval–2016 Task 3 on Community Question Answer- ing, which we offered in English and Ara- bic. For English, we had three sub- tasks: Question–Comment Similarity (subtask …...

AbstractQuestion answering (QA) systems are easily distracted by irrelevant or redundant words in questions, especially when faced with long or multi-sentence questions in difficult domains. This paper introduces and studies …...

AbstractThe structured output framework provides a helpful tool for learning to rank problems. In this paper, we propose a structured output approach which regards rankings as latent variables. Our approach …...

AbstractWe present 1) a work in progress method to visually segment key regions of scientific articles using an object detection technique augmented with contextual features, and 2) a novel dataset …...

AbstractResearch on the application of NLP in symbol-based Augmentative and Alternative Communication (AAC) tools for improving social interaction support is scarce. We contribute a novel method for generating context-related vocabulary …...

AbstractThis paper presents a novel framework for reconstructing multi-hop explanations in science Question Answering (QA). While existing approaches for multi-hop reasoning build explanations considering each question in isolation, we propose …...

AbstractRecent work has identified noisy and misannotated data as a core cause of hallucinations and unfaithful outputs in Natural Language Generation (NLG) tasks. Consequently, identifying and removing these examples is …...

AbstractDocument-level relation extraction (DocRE) attracts more research interest recently. While models achieve consistent performance gains in DocRE, their underlying decision rules are still understudied: Do they make the right predictions …...