semeval | MathLing Budapest Team 's repo
kandi X-RAY | semeval Summary
kandi X-RAY | semeval Summary
Semantic Textual Similarity (STS) system created by the MathLingBudapest team to participate in Tasks 1 and 2 of Semeval2015.
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Top functions reviewed by kandi - BETA
- Compute similarity between two words
- Returns spell variations for a given word
- Return the spelling checker for a word
- Return a set of Twitter Twitter tweets
- Return a set of twitter candidates
- Return the parts of a word
- Return a set of potential candidates for the given word
- Compute and print statistics
- Calculate the measures of a given statistic
- Print prediction results
- Read the labels from the stream
- Run regression
- Align the source and target score
- Read sentences from stream
- Compute the Jaccard similarity between two strings
- Read the configuration file
- Train regression
- Store a single stat
- Read features from file
- Align the source to the target match
- Read a text file
- Predict for regression
- Extract n - grams from text
- Computes the similarity between two words
- Parse command line arguments
- Print prediction statistics
- Check if two synsets are mutuallyrelated
- Calculates the measures for a given statistic
semeval Key Features
semeval Examples and Code Snippets
Community Discussions
Trending Discussions on semeval
QUESTION
I am trying to evaluate a WSD model using well-known WSD data set (SemEval, SensEval). But I am don't understand the format of the gold key text file.
seneval3.gold.key.txt
...ANSWER
Answered 2021-Mar-25 at 06:47This answer is composed based on the comment given for this SO post.
The number sequence followed by % is the lex_index. Lex index composed as follows.
ss_type:lex_filenum:lex_id:head_word:head_id
More information is in the WordNet documentation.
QUESTION
I'm trying to implement a version of Brown clusters for a series of review texts (SemEval 2014). I am using Owoputi et al.'s(2013) publicly available twitter clusters. They look like the following:
...ANSWER
Answered 2020-Jun-21 at 14:48It's hard to decipher your question, so let me formalize it a notch. What I understood so far:
- You want to map given string of
textinto one-dimensional arraya. - You have dictionary
dthat maps someclusterto list ofwords. - Each position
ixinacorresponds to somekeyfrom dictionaryd. a[ix] == 1iftextcontains any ofd[key],== 0otherwise.
The following solution seems elegant enough:
QUESTION
I am training an LSTM model on the SemEval 2017 task 4A dataset (classification problem with 3 classes). I observe that first validation loss decreases but then suddenly increases by a significant amount and again decreases. It is showing a sinusoidal nature which can be observed from the below training epochs.
Here is the code of my model
...ANSWER
Answered 2020-May-31 at 19:52When you have more than two classes you cannot use binary crossentropy. Change your loss function to categorical crossentropy and set your output layer to have three neurons (one for each class)
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install semeval
You can use semeval like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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