metric ID: entropy

Related Papers

Predication of Meaning of Bisyllabic Chinese Compound Words Using Back Propagation Neural Network

Authors: nan

Publication: TIPSTER (1995)

DOI: nan

A three layer back propagation neural net is set up to study the functional dependency between the semantic class of a bisyllabic Chinese word and that of its two constituent …...

315

Improving Language Model Size Reduction using Better Pruning Criteria

Authors: nan

Publication: TIPSTER (2002)

DOI: nan

Reducing language model (LM) size is a critical issue when applying a LM to realistic applications which have memory constraints. In this paper, three measures are studied for the purpose …...

35296

Variation of Entropy and Parse Trees of Sentences as a Function of the Sentence Number

Authors: nan

Publication: TIPSTER (2003)

DOI: nan

In this paper we explore the variation of sentences as a function of the sentence number. We demonstrate that while the entropy of the sentence increases with the sentence number, …...

43206

Robust Target Speaker Tracking in Broadcast TV Streams

Authors: nan

Publication: TIPSTER (2006)

DOI: nan

This paper addresses the problem of audio change detection and speaker tracking in broadcast TV streams. A two-pass audio change detection algorithm, which includes detection of the potential change boundaries …...

7522

OntoNotes: Corpus Cleanup of Mistaken Agreement Using Word Sense Disambiguation

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

Annotated corpora are only useful if their annotations are consistent. Most large-scale annotation efforts take special measures to reconcile inter-annotator disagreement. To date, however, no-one has investigated how to automatically …...

6205

Prototype-based Active Learning for Lemmatization

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

Annotation of training data for machine learning is often a laborious and costly process. In Active Learning (AL), crite- ria are investigated that allow ordering the unannotated data in such …...

29549

Investigations into the Crandem Approach to Word Recognition

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

We suggest improvements to a previously pro- posed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The pre- vious authors’ work suggested that …...

23742

Unsupervised Model Adaptation using Information-Theoretic Criterion

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

In this paper we propose a novel general framework for unsupervised model adapta- tion. Our method is based on entropy which has been used previously as a regularizer in semi-supervised …...

23914

Hello, Who is Calling?: Can Words Reveal the Social Nature of Conversations?

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

This study aims to infer the social nature of conversations from their content automat- ically. To place this work in context, our moti- vation stems from the need to understand …...

23955

Automatic Discovery of Adposition Typology

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Natural languages (NL) can be classified as prepositional or postpositional based on the order of the noun phrase and the adposition. Categorizing a language by its adposition typology helps in …...

5830

Mapping CPA Patterns onto OntoNotes Senses

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractIn this paper we present an alignment experiment between patterns of verb use discovered by Corpus Pattern Analysis (CPA; Hanks 2004, 2008, 2012) and verb senses in OntoNotes (ON; Hovy …...

16125

Comparing Apples to Apple: The Effects of Stemmers on Topic Models

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

AbstractRule-based stemmers such as the Porter stemmer are frequently used to preprocess English corpora for topic modeling. In this work, we train and evaluate topic models on a variety of …...

27089

German in Flux: Detecting Metaphoric Change via Word Entropy

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThis paper explores the information-theoretic measure entropy to detect metaphoric change, transferring ideas from hypernym detection to research on language change. We build the first diachronic test set for German …...

42009

On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractProbabilistic finite-state automata are a formalism that is widely used in many problems of automatic speech recognition and natural language processing. Probabilistic finite-state automata are closely related to other finite-state …...

41437

Speakers Fill Lexical Semantic Gaps with Context

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractLexical ambiguity is widespread in language, allowing for the reuse of economical word forms and therefore making language more efficient. If ambiguous words cannot be disambiguated from context, however, this …...

30425

Textual Data Augmentation for Efficient Active Learning on Tiny Datasets

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper we propose a novel data augmentation approach where guided outputs of a language generation model, e.g. GPT-2, when labeled, can improve the performance of text classifiers through …...

29878

Efficient Computation of Expectations under Spanning Tree Distributions

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWe give a general framework for inference in spanning tree models. We propose unified algorithms for the important cases of first-order expectations and second-order expectations in edge-factored, non-projective spanning-tree models. …...

26679

Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractWhen working with problems in natural language processing, we can find ourselves in situations where the traditional measurements of descriptive complexity are ineffective at describing the behaviour of our algorithms. …...

42522

Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractRecently, aspect sentiment quad prediction (ASQP) has become a popular task in the field of aspect-level sentiment analysis. Previous work utilizes a predefined template to paraphrase the original sentence into …...

30399

Stop Measuring Calibration When Humans Disagree

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractCalibration is a popular framework to evaluate whether a classifier knows when it does not know - i.e., its predictive probabilities are a good indication of how likely a prediction …...

31416

Generalizing Backpropagation for Gradient-Based Interpretability

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractMany popular feature-attribution methods for interpreting deep neural networks rely on computing the gradients of a model’s output with respect to its inputs. While these methods can indicate which input …...

37965