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Although there has been much work in recent years on data-driven natural language generation,
little attention has been paid to the fine-grained interactions that arise during microplanning
between ...
A Game-Theoretic Approach to Word Sense Disambiguation
Word Sense Disambiguation Game-Theoretic
2017/4/6
This article presents a new model for word sense disambiguation formulated in terms of evolutionary
game theory, where each word to be disambiguated is represented as a node on a graph
whose edges r...
The mediatisation of Chinese corporate communication: A linguistic approach
mediatisation corporate communication critical discourse analysis strategic discourse chinese managers
2018/3/22
The mediatisation of corporate communication transforms corporate negotiations
of public companies from representative democracy to deliberative democracy,
whereas the public seems to own individual...
This and That Revisited:A Social and Multimodal Approach to Spatial Demonstratives
referential communication language space demonstratives gesture pointing
2016/5/3
As humans, we have the capacity to refer to the things in the world around us. In everyday spoken communication, we often use words to describe intended referents (such as objects, people, and events)...
“Proactive” in many ways:Developmental evidence for a dynamic pluralistic approach to prediction
Prediction Associative strength Vocabulary development Production Children
2016/5/3
The anticipation of the forthcoming behaviour of social interaction partners is a useful ability supporting interaction and communication between social partners. Associations and prediction based on ...
Understanding short texts is crucial to many applications, but challenges abound. First, short texts do not always observe the syntax of a written language. As a result, traditional natural language p...
A novel approach identifies the first transcriptome networks in bats: a new genetic model for vocal communication
Periaqueductal gray Vocal communication Glutamate signaling
2015/12/21
Bats are able to employ an astonishingly complex vocal repertoire for navigating their environment
and conveying social information. A handful of species also show evidence for vocal learning, an ext...
A Constraint-Based Hypergraph Partitioning Approach to Coreference Resolution
Hypergraph Partitioning Approach Coreference Resolution
2015/9/11
This work is focused on research in machine learning for coreference resolution. Coreference resolution is a natural language processing task that consists of determining the expressions in a discours...
This article proposes ESA, a new unsupervised approach to word segmentation. ESA is an iterative process consisting of 3 phases: Evaluation, Selection, and Adjustment. In Evaluation, both certainty an...
Modeling Local Coherence:An Entity-Based Approach
Modeling Local Coherence Entity-Based Approach
2015/9/6
This article proposes a novel framework for representing and measuring local coherence. Central to this approach is the entity-grid representation of discourse, which captures patterns of entity distr...
Classifying Non-Sentential Utterances in Dialogue: A Machine Learning Approach
Machine Learning Approach Dialogue
2015/9/2
In this article we use well-known machine learning methods to tackle a novel task, namely
the classification of non-sentential utterances (NSUs) in dialogue. We introduce a fine-grained
...
Chinese Word Segmentation and Named Entity Recognition:A Pragmatic Approach
Chinese Word Segmentation Named Entity Recognition Pragmatic Approach
2015/8/31
This article presents a pragmatic approach to Chinese word segmentation. It differs from most previous approaches mainly in three respects. First, while theoretical linguists have defined Chinese word...
The Alignment Template Approach to Statistical Machine Translation
Alignment Template Approach Statistical Machine Translation
2015/8/31
A phrase-based statistical machine translation approach — the alignment template approach — is described. This translation approach allows for general many-to-many relations between words.Thereby, the...
A Machine Learning Approach to Modeling Scope Preferences
Machine Learning Approac Modeling Scope Preferences
2015/8/28
This article describes a corpus-based investigation of quantifier scope preferences. Following recent work on multimodular grammar frameworks in theoretical linguistics and a long history of combining...
Dependency Parsing with an Extended Finite-State Approach
Extended Finite-State Approach Dependency Parsing
2015/8/28
This article presents a dependency parsing scheme using an extended finite-state approach. The
parser augments input representation with “channels” so that links representing syntactic dependen...