Papers Text Segmentation
“Text Segmentation” 태그가 달린 논문 124편 · 필터 해제
Highly Fast Text Segmentation With Pairwise Markov Chains
Natural Language Processing (NLP) models' current trend consists of using increasingly more extra-data to build the best models as possible. It implies more expensive computational costs and training time, difficulties f…
Chunkingnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+3Structural Text Segmentation of Legal Documents
The growing complexity of legal cases has lead to an increasing interest in legal information retrieval systems that can effectively satisfy user-specific information needs. However, such downstream systems typically req…
Change DetectionInformation RetrievalPassage RetrievalRetrieval+3Leveraging HTML in Free Text Web Named Entity Recognition
HTML tags are typically discarded in free text Named Entity Recognition from Web pages. We investigate whether these discarded tags might be used to improve NER performance. We compare Text+Tags sentences with their Text…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+1Hierarchical Text Segmentation for Medieval Manuscripts
In this paper, we address the segmentation of books of hours, Latin devotional manuscripts of the late Middle Ages, that exhibit challenging issues: a complex hierarchical entangled structure, variable content, noisy tra…
Hierarchical Text SegmentationSegmentationSentenceText SegmentationGerman-Arabic Speech-to-Speech Translation for Psychiatric Diagnosis
In this paper we present the natural language processing components of our German-Arabic speech-to-speech translation system which is being deployed in the context of interpretation during psychiatric, diagnostic intervi…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)DecoderDiagnostic+7Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach
Text segmentation is a prerequisite in many real-world text-related tasks, e.g., text style transfer, and scene text removal. However, facing the lack of high-quality datasets and dedicated investigations, this critical …
SegmentationStyle TransferText SegmentationText Style TransferInterpretable Natural Language Segmentation Based on Link Grammar
Natural language segmentation (NLS), or text segmentation, refers to the process of dividing written text into meaningful units. Sentence segmentation, a subfield of text segmentation, is the problem of dividing a string…
Question AnsweringRetrievalSegmentationSentence+2Chapter Captor: Text Segmentation in Novels
Books are typically segmented into chapters and sections, representing coherent subnarratives and topics. We investigate the task of predicting chapter boundaries, as a proxy for the general task of segmenting long texts…
SegmentationText SegmentationBATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
Existing topic modeling and text segmentation methodologies generally require large datasets for training, limiting their capabilities when only small collections of text are available. In this work, we reexamine the int…
DiversitySegmentationText SegmentationTopic ModelsA Joint Model for Document Segmentation and Segment Labeling
Text segmentation aims to uncover latent structure by dividing text from a document into coherent sections. Where previous work on text segmentation considers the tasks of document segmentation and segment labeling separ…
SegmentationText SegmentationSegmentation de texte non-supervis\'ee pour la d\'etection de th\'ematiques \`a l'aide de plongements lexicaux (Unsupervised text segmentation for topic detection using embeddings )
Cet article pr{\'e}sente les principales m{\'e}thodes de segmentation automatique de documents textuels sp{\'e}cifiques. La t{\^a}che de segmentation th{\'e}matique de texte consiste {\`a} analyser un document pour en ex…
SegmentationSENTERText SegmentationImproving Segmentation for Technical Support Problems
Technical support problems are often long and complex. They typically contain user descriptions of the problem, the setup, and steps for attempted resolution. Often they also contain various non-natural language text ele…
Language ModelingLanguage ModellingRetrievalSegmentation+2Sanskrit Segmentation Revisited
Computationally analyzing Sanskrit texts requires proper segmentation in the initial stages. There have been various tools developed for Sanskrit text segmentation. Of these, G\'erard Huet's Reader in the Sanskrit Herita…
SegmentationText SegmentationvalidBooks of Hours. the First Liturgical Data Set for Text Segmentation.
The Book of Hours was the bestseller of the late Middle Ages and Renaissance. It is a historical invaluable treasure, documenting the devotional practices of Christians in the late Middle Ages. Up to now, its textual con…
Handwritten Text RecognitionHTROptical Character RecognitionOptical Character Recognition (OCR)+1Text Segmentation by Cross Segment Attention
Document and discourse segmentation are two fundamental NLP tasks pertaining to breaking up text into constituents, which are commonly used to help downstream tasks such as information retrieval or text summarization. In…
Discourse SegmentationInformation RetrievalRetrievalSegmentation+2Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation
Breaking down the structure of long texts into semantically coherent segments makes the texts more readable and supports downstream applications like summarization and retrieval. Starting from an apparent link between te…
Cross-Lingual Word EmbeddingsMulti-Task LearningRetrievalSegmentation+4Weak Supervision for Generating Pixel-Level Annotations in Scene Text Segmentation
Providing pixel-level supervisions for scene text segmentation is inherently difficult and costly, so that only few small datasets are available for this task. To face the scarcity of training data, previous approaches b…
SegmentationText SegmentationvalidWeakly-supervised LearningA Cascade Model for Proposition Extraction in Argumentation
We present a model to tackle a fundamental but understudied problem in computational argumentation: proposition extraction. Propositions are the basic units of an argument and the primary building blocks of most argument…
Argument MiningSegmentationText SegmentationDeep Bayesian Natural Language Processing
This introductory tutorial addresses the advances in deep Bayesian learning for natural language with ubiquitous applications ranging from speech recognition to document summarization, text classification, text segmentat…
Caption GenerationClusteringDocument SummarizationGenerative Adversarial Network+12Crowdsourcing and Aggregating Nested Markable Annotations
One of the key steps in language resource creation is the identification of the text segments to be annotated, or markables, which depending on the task may vary from nominal chunks for named entity resolution to (potent…
coreference-resolutionCoreference ResolutionEntity ResolutionText Segmentation