Linear Regression

This paper describes a language independent method for alignment of parallel texts that makes use of homograph tokens for each pair of languages. In order to filter out tokens that …...

. In this article, we report significant findings resulting from an investigation into the correlation between adjective density, calculated as the proportion of adjectives in word tokens, and degrees of …...

We investigate the task of performance pre- diction for language models belonging to the exponential family. First, we attempt to em- pirically discover a formula for predicting test set cross-entropy …...

. This paper investigates automatic wrapper generation and maintenance for Forums, Blogs and News web sites. Web pages are increasingly dynamically generated using a common template populated with data from …...

We introduce a novel coreference resolution system that models entities and events jointly. Our iterative method cautiously constructs clusters of entity and event mentions using lin- ear regression to model …...

In this paper we present the system we sub- mitted to the WMT12 shared task on Quality Estimation. Each translated sentence is given a score between 1 and 5. The …...

We propose a tuning method for statistical ma- chine translation, based on the pairwise rank- ing approach. Hopkins and May (2011) pre- sented a method that uses a binary classifier. …...

This paper presents a new automated method for evaluating the content of a text summary. The proposed method is based on a combination of features encompassing scores of content and …...

In this paper we present the system we submitted to the WMT13 shared task on Quality Estimation. We participated in the Task 1.1. Each translated sentence is given a score …...

AbstractWe present a method for discovering abstract event classes in biographies, based on a probabilistic latent-variable model. Taking as input timestamped text, we exploit latent correlations among events to learn …...

This paper presents a model that was devel- oped to address SemEval Task 7: “Determin- ing Sentiment Intensity of English and Arabic Phrases”, with focus on ‘Arabic Phrases’. The goal …...

AbstractThere have been many attempts at automatically recognising author personality traits from text, typically incorporating linguistic features with conventional machine learning models, e.g. linear regression or Support Vector Machines. In …...

AbstractWe present the system developed by the team DUTH for the participation in Semeval-2017 task 5 - Fine-Grained Sentiment Analysis on Financial Microblogs and News, in subtasks A and B. …...

AbstractThis paper describes MITRE’s participation in the Semantic Textual Similarity task (SemEval-2017 Task 1), which evaluated machine learning approaches to the identification of similar meaning among text snippets in English, …...

AbstractThis paper discusses the approach taken by the UWaterloo team to arrive at a solution for the Fine-Grained Sentiment Analysis problem posed by Task 5 of SemEval 2017. The paper …...

AbstractIn this paper we did an analysis of “Affects in Tweets” which was one of the task conducted by semeval 2018. Task was to build a model which is able …...

AbstractThis paper describes systems submitted to Se- mEval 2021 Task 1: Lexical Complexity Prediction (LCP). We compare a linear and a non-linear regression models trained to work for both tracks …...

AbstractIn this paper we describe the systems used by the RoMa team in the shared task on Detecting and Rating Humor and Offense (HaHackathon) at SemEval 2021. Our systems rely …...

AbstractReports of personal experiences or stories can play a crucial role in argumentation, as they represent an immediate and (often) relatable way to back up one’s position with respect to …...

According to data from the World Meteorological Organization, the temperature on Earth has risen by nearly 1°C from 1850 to 2020, causing global climate anomalies and seriously affecting the melting …...

AbstractIntimacy is one of the fundamental aspects of our social life. It relates to intimate interactions with others, often including verbal self-disclosure. In this paper, we researched machine learning algorithms …...