LingPipe 2.4.1 Released ======================= This is a patch release replacing LingPipe 2.4.0. It patches all bugs that have been reported to us; thanks to...
Hi! I'm working on a system to try to automate the analysis of customer satisfaction based on a database of their e-mail correspondences. So far we've had good...
... We've had requests to do other scalar classifiers, like reading level classification (on a grade-in-school scale). This is a general problem in statistical...
Hi All, I am new in on Dynamic Model Language Classification. In fact, my knowledge are very limited on how to user LingPipe for classification, so I am trying...
... Let me reformulate your question to see if I understand it. You have a set S1 of docs in language L1 and a set S2 of docs in language L2. Now you want to...
... It sounds like you're using the chunker: $LINGPIPE/demos/models/ne-en-bio-genia.TokenShapeChunker That is, indeed, a TokenShapeChunker. I'd suggest not...
Hi bob, Thank you for the big tip earlier. I have some more questions about training Chunkers (LmRescoringChunker, TokenShapeChunker). I made a set of tagged ...
Hi there, i am pretty new to the NLP sector, so please forgive me my perhaps dumb questions... What i am searching is a way to retrieve all kind of relations...
Hi bob, Thank you for the big tip earlier. I have some more questions about training Chunkers (LmRescoringChunker, TokenShapeChunker). I made a set of tagged ...
Sorry for not getting to this sooner -- I've been on vacation for the last week and a half. ... Let me help reset your expectations. First, if you only want to...
... What you're looking for is some kind of relational tagging or parsing. I'm afraid that we don't have anything to do that in LingPipe. The within-document...
Is anyone else having trouble compiling LingPipe 3.0? I was hoping it wouldn't be a disaster, but I'm now seeing the bugs in the various compilers as I get...
Hi All! I am starting to learn Language Modeling approach for Classification. I understand that one of main advantages of LM is that it does not require text...
... I'd say the main advantage of the character LM approach is that it can learn from parts of tokens as well as across tokens, which means it's far less...
Hi Lena, A solution could be to embed your Lingpipe learner / classifier inside a framework like UIMA or GATE. That would allow to run any number of processors...
... LingPipe was designed so that it'd be easy to integrate into larger integration frameworks like UIMA or GATE. LingPipe's models are all serializable and...
... Didn't you already publish a UIMA wrapper for at least the chunkers? I have successfully used the LingPipe NER components with UIMA 1.3 Regards, Florian...
Florian Laws
florian@...
Jun 4, 2007 2:20 pm
436
Hello all, I wonder if I can use LingPipe for clustering sentences using their syntactic parse trees as features. If yes, how can accomplish this ? Best...
... The hard part's (1) generating the syntactic parse trees, and (2) deciding how to map them into features (e.g. Collins's kernel-based approach) and then...
Hi All, I read in the LingPipe documentaion that it could be used for the Japanese text segmentation. My text is encoded in UTF-8. The segmentation work well...
... How do you want to segment the text? Into words? Into sentences? If you want to segment into words, you'll need training data that has spaces between the...
LINGPIPE 3.1.0 RELEASE ====================== Minor Release ============= The latest release of LingPipe is LingPipe 3.1.0. This minor release replaces...
Hi, I'm playing with LingPipe's DynamicLMClassifier and I'm trying to categorize text into 3 categories: good, neutral & bad. The underlying algorithm for...
Great question and one that comes up again and again in different contexts in machine learning and statistics. ... That is a very very skewed training set. And...
Bob, As always, a great, clear and understandable explanation! The training set is very skewed and there is nothing I can do about that, but I didn't know that...
Bob, I'm wondering about your sentence: "Typically, you can set that threshold using held out data." What does that mean? The building of the model and the ...
... In terms of n-gram sizes, I meant you might set the neutral category's n-gram size lower than the other category's. That'll tend to decrease the neutral...
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