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Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff
Is chatbot able to completely replace the human agent? The short answer ...
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Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation
AMR-to-text generation is used to transduce Abstract Meaning Representat...
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Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
Named entity recognition and relation extraction are two important funda...
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Aspect Sentiment Classification with Aspect-Specific Opinion Spans
Aspect based sentiment analysis, predicting sentiment polarity of given ...
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Position-Aware Tagging for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting the...
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RPT: Learning Point Set Representation for Siamese Visual Tracking
While remarkable progress has been made in robust visual tracking, accur...
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Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Document-level relation extraction requires integrating information with...
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Knowledge Graph Empowered Entity Description Generation
Existing works on KG-to-text generation take as input a few RDF triples ...
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STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization
Abstractive summarization aims to rewrite a long document to its shorter...
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Adversarial Deep Network Embedding for Cross-network Node Classification
In this paper, the task of cross-network node classification, which leve...
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Self-Directed Online Machine Learning for Topology Optimization
Topology optimization by optimally distributing materials in a given dom...
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Self-Directed Online Learning for Topology Optimization
Topology optimization by optimally distributing materials in a given dom...
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Deep-Learning-Enabled Simulated Annealing for Topology Optimization
Topology optimization by distributing materials in a domain requires sto...
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Read Beyond the Lines: Understanding the Implied Textual Meaning via a Skim and Intensive Reading Model
The nonliteral interpretation of a text is hard to be understood by mach...
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Minimal Linear Codes Constructed from Functions
In this paper, we consider minimal linear codes in a general constructio...
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The Parameters of Minimal Linear Codes
Let k≤ n be two positive integers and q a prime power. The basic questio...
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Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA...
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Six constructions of asymptotically optimal codebooks via the character sums
In this paper, using additive characters of finite field, we find a code...
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RCRnorm: An integrated system of random-coefficient hierarchical regression models for normalizing NanoString nCounter data
Formalin-fixed paraffin-embedded (FFPE) samples have great potential for...
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Aligning Cross-Lingual Entities with Multi-Aspect Information
Multilingual knowledge graphs (KGs), such as YAGO and DBpedia, represent...
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Text2Math: End-to-end Parsing Text into Math Expressions
We propose Text2Math, a model for semantically parsing text into math ex...
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Dependency-Guided LSTM-CRF for Named Entity Recognition
Dependency tree structures capture long-distance and syntactic relations...
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Learning Explicit and Implicit Structures for Targeted Sentiment Analysis
Targeted sentiment analysis is the task of jointly predicting target ent...
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UER: An Open-Source Toolkit for Pre-training Models
Existing works, including ELMO and BERT, have revealed the importance of...
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Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
In medical documents, it is possible that an entity of interest not only...
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Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems
An arithmetic word problem typically includes a textual description cont...
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Joint Detection and Location of English Puns
A pun is a form of wordplay for an intended humorous or rhetorical effec...
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The Learning of Fuzzy Cognitive Maps With Noisy Data: A Rapid and Robust Learning Method With Maximum Entropy
Numerous learning methods for fuzzy cognitive maps (FCMs), such as the H...
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Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
We focus on graph-to-sequence learning, which can be framed as transduci...
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Attention Guided Graph Convolutional Networks for Relation Extraction
Dependency trees convey rich structural information that is proven usefu...
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New constructions of asymptotically optimal codebooks via character sums over a local ring
In this paper, we present explicit description on the additive character...
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Two constructions of asymptotically optimal codebooks via the trace functions
In this paper, we present two new constructions of complex codebooks wit...
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Fair cost allocation for ridesharing services - modeling, mathematical programming and an algorithm to find the nucleolus
This paper addresses one of the most challenging issues in designing an ...
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A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Learning word embeddings has received a significant amount of attention ...
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Direct Citations between Citing Publications
This paper defines and explores the direct citations between citing publ...
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Labeling Gaps Between Words: Recognizing Overlapping Mentions with Mention Separators
In this paper, we propose a new model that is capable of recognizing ove...
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Learning to Recognize Discontiguous Entities
This paper focuses on the study of recognizing discontiguous entities. M...
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Weak Semi-Markov CRFs for NP Chunking in Informal Text
This paper introduces a new annotated corpus based on an existing inform...
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Efficient Dependency-Guided Named Entity Recognition
Named entity recognition (NER), which focuses on the extraction of seman...
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Neural Adaptation Layers for Cross-domain Named Entity Recognition
Recent research efforts have shown that neural architectures can be effe...
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Neural Segmental Hypergraphs for Overlapping Mention Recognition
In this work, we propose a novel segmental hypergraph representation to ...
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A Neural Transition-based Model for Nested Mention Recognition
It is common that entity mentions can contain other mentions recursively...
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Dependency-based Hybrid Trees for Semantic Parsing
We propose a novel dependency-based hybrid tree model for semantic parsi...
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Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response
Quantification of local metabolic tumor volume (MTV) chan-ges after Chem...
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Interpretable Spiculation Quantification for Lung Cancer Screening
Spiculations are spikes on the surface of pulmonary nodule and are impor...
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Learning Cross-lingual Distributed Logical Representations for Semantic Parsing
With the development of several multilingual datasets used for semantic ...
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Evaluating Non-Motorized Transport Popularity of Urban Roads by Sports GPS Tracks
Non-motorized transport is becoming increasingly important in urban deve...
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Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Despite being impactful on a variety of problems and applications, the g...
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Digital image splicing detection based on Markov features in QDCT and QWT domain
Image splicing detection is of fundamental importance in digital forensi...
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Rhetorical relations for information retrieval
Typically, every part in most coherent text has some plausible reason fo...
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